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Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
Furukawa, James M.; Cohen, Nancy – 1979
The effects of specific testing procedures on learning were studied, using the chunking method of teaching and studying, which involves the learning of small units of information. The size of the unit is related to the student's cognitive processing capacity (CPC)--the amount of material recalled after a brief exposure. Subjects were undergraduate…
Descriptors: Academic Achievement, Cognitive Ability, Educational Testing, Grades (Scholastic)
Vida, Louisa Kramer – 1980
Using Jean Piaget's theory of thinking as a structuring mechanism, this paper presents a theoretical framework for the development of remedial, corrective, and developmental reading programs geared toward teaching reading comprehension. The four stages of intellectual development that Piaget has proposed (sensorimotor, preoperational, concrete…
Descriptors: Child Development, Classroom Techniques, Concept Formation, Corrective Reading